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Supaporn Erjongmanee. From actual flight data to energy consumption model : a construction of a machine learning model to predict a flight time of an electric powered hybrid-VTOL UAV. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
From actual flight data to energy consumption model : a construction of a machine learning model to predict a flight time of an electric powered hybrid-VTOL UAV
Name: Nattapat Tansurat
Organization :
Kasetsart University. Department of Computer Engineering
Name: Eakarat Suwanagood
Organization :
Kasetsart University. Department of Aerospace Engineering
Name: Chaiwat Klampol
Organization :
Kasetsart University. Department of Aerospace Engineering
Email :
chaiwat.kl@ku.th
Name: Supaporn Erjongmanee
Organization :
Kasetsart University. Department of Computer Engineering
keyword:
Flight time prediction
LCSH:
Drone aircraft
LCSH:
Electric airplanes
LCSH:
Machine learning
Abstract:
The world has seen more use of unmanned aerial vehicles in recent years. To precisely estimate flight time and endurance in real-world environments remains challenging due to various unforeseen factors. In this work, a novel framework for constructing a machine learning model to predict the energy consumption is developed. Flight log data of a hybrid fixed-wing VTOL UAV were collected through on-board sensors during flight operations and utilized. The flight data were pre-processed using various methods, including resampling, clustering, classification and feature selection, to identify distinct flight phases. Relevant parameters from each flight phase were then used as inputs for the energy consumption prediction model. As a result, random forest and gradient boosting regression models demonstrated the most promising outcomes
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-08-15
Issued:
2025-08-15
บทความ/Article
application/pdf
BibliograpyCitation :
In Thai Society of Mechanical Engineers (TSME) and Kasetsart University (KU). The 14th TSME International Conference on Mechanical Engineering (TSME-ICoME14 2024) (AME0015). Chonburi : Kasetsart University Sriracha Campus, 2024
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.048407 วินาที
Nattapat Tansurat
| Title | Contributor | Type |
|---|---|---|
| From actual flight data to energy consumption model : a construction of a machine learning model to predict a flight time of an electric powered hybrid-VTOL UAV
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nattapat Tansurat;Eakarat Suwanagood;Chaiwat Klampol;Supaporn Erjongmanee | บทความ/Article |
Eakarat Suwanagood
| Title | Contributor | Type |
|---|---|---|
| From actual flight data to energy consumption model : a construction of a machine learning model to predict a flight time of an electric powered hybrid-VTOL UAV
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nattapat Tansurat;Eakarat Suwanagood;Chaiwat Klampol;Supaporn Erjongmanee | บทความ/Article | |
| System development for estimating geolocation, direction, and velocity of moving objects in UAV applications using monocular camera
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Mollarath Likitvisetpong;Supaporn Erjongmanee;Eakarat Suwanagood;Chaiwat Klumpol;Paveenrath Teerataphong | บทความ/Article |
Chaiwat Klampol
| Title | Contributor | Type |
|---|---|---|
| From actual flight data to energy consumption model : a construction of a machine learning model to predict a flight time of an electric powered hybrid-VTOL UAV
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nattapat Tansurat;Eakarat Suwanagood;Chaiwat Klampol;Supaporn Erjongmanee | บทความ/Article |
Supaporn Erjongmanee
| Title | Contributor | Type |
|---|---|---|
| From actual flight data to energy consumption model : a construction of a machine learning model to predict a flight time of an electric powered hybrid-VTOL UAV
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Nattapat Tansurat;Eakarat Suwanagood;Chaiwat Klampol;Supaporn Erjongmanee | บทความ/Article | |
| System development for estimating geolocation, direction, and velocity of moving objects in UAV applications using monocular camera
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Mollarath Likitvisetpong;Supaporn Erjongmanee;Eakarat Suwanagood;Chaiwat Klumpol;Paveenrath Teerataphong | บทความ/Article |